New Grad / Early Career Customer Support Engineer (AI Infrastructure)

Location: Santa Clara, California, United States

Company

hirify.global develops foundational hardware and software technologies for large-scale AI deployments, including silicon, systems, network operations, and cloud infrastructure.

What you will do

• Assist customers with diagnosing and resolving technical issues through multiple communication channels.
• Troubleshoot network performance, configuration, and connectivity issues across customer environments with guidance from senior engineers.
• Collaborate with hardware and software engineering teams to reproduce issues in lab environments, propose workarounds, and verify bug fixes.
• Build product knowledge across the cloud networking stack, AI infrastructure, and customer usage patterns.
• Document customer issues, create troubleshooting guides, and contribute to knowledge base articles.
• Participate in scheduled 24/7 on-call rotations after onboarding and training, review incidents, and suggest process improvements.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Network Engineering, or a related field; graduation within the last 0–2 years or current enrollment for internship/co-op roles.
• Solid understanding of TCP/IP, OSI layers, IP routing, VLANs, subnetting, ARP, DNS, and data center technologies.
• Hands-on or academic experience with BGP, OSPF, and VxLAN.
• Basic Linux proficiency, including command-line use, log analysis, and shell scripting.
• Familiarity with network operating systems such as Cisco IOS, Junos, or Arista EOS through coursework, labs, or certifications.
• Strong customer empathy, written and verbal communication, curiosity, initiative, and ability to learn quickly.

Nice to have

• Familiarity with SONiC or other open-source network operating system projects.
• Interest in AI infrastructure, GPU networking, or high-performance interconnects.

Culture & Benefits

• Startup environment with the expertise of an experienced team.
• Close collaboration and learning opportunities with senior hardware and software engineers.
• Hands-on work on mission-critical computer systems and next-generation AI infrastructure.
• Structured onboarding and training before joining the on-call rotation.